大连海事大学学报 >
2019 , Vol. 45 >Issue 2: 44 - 49
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2019.02.006
基于大数据的内河船舶主机功率估算方法
收稿日期: 2018-09-27
修回日期: 2018-11-03
网络出版日期: 2018-11-03
基金资助
国家重点研发计划项目(2018YFC1407405;2018YFC0213900);中央高校基本科研业务费专项资金资助(2018III036GX).武汉理工大学研究生优秀学位论文培育项目资助(2018-YS-69).
Main engine power estimation method for the inland ship based on big data
Received date: 2018-09-27
Revised date: 2018-11-03
Online published: 2018-11-03
周春辉 , 黄弘逊 , 周玲 , 隋忠义 , 文元桥 , 肖长诗 . 基于大数据的内河船舶主机功率估算方法[J]. 大连海事大学学报, 2019 , 45(2) : 44 -49 . DOI: 10.16411/j.cnki.issn1006-7736.2019.02.006
In view of the estimation problem of the main engine power in current ship emission calculation, the optimal function of main engine power of different ship types for ship main dimensions was obtained by using data fitting method based on the relevant information of AIS database and Yangtze River ship registration database, and the estimation model of marine main engine was established and verified. The experimental results show that the error between the estimated value and the actual value of the ship main engine power estimation model established by the proposed method is within ±10%, which has high reliability.
Key words: inland ship; main engine power; estimation method; regression analysis; big data
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